Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV-Reference-Cited by-同舟云学术

Strategies of Managing Repeated Measures: Using Synthetic Random Forest to Predict HIV Viral Suppression Status Among Hospitalized Persons with HIV

Published:2023-02-05 Issue:9 Volume:27 Page:2915-2931
ISSN:1090-7165
Container-title:AIDS and Behavior
language:en
Short-container-title:AIDS Behav

Author:

Liu Jingxin^ORCID,Pan Yue,Nelson Mindy C.,Gooden Lauren K.,Metsch Lisa R.,Rodriguez Allan E.,Tross Susan,del Rio Carlos,Mandler Raul N.,Feaster Daniel J.

Funder

National Drug Abuse Treatment Clinical Trials Network

University of Miami Center for HIV and Research on Mental Health

Center for AIDS Research

Publisher

Springer Science and Business Media LLC

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,Social Psychology

Link

https://link.springer.com/content/pdf/10.1007/s10461-023-04015-1.pdf

Reference69 articles.

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4. Centers for Disease Control and Prevention (CDC). Estimated HIV incidence and prevalence in the United States, 2014–2018. HIV Surveillance Supplemental Report 2020; 25(No. 1). https://www.cdc.gov/hiv/pdf/library/reports/surveillance/cdc-hiv-surveillance-supplemental-report-vol-25-1.pdf.

5. Baker JV, Henry WK, Neaton JD. The consequences of HIV infection and antiretroviral therapy use for cardiovascular disease risk: shifting paradigms. Curr Opin HIV AIDS. 2009;4(3):176–82.